ClawHub
Back to skill

Security audit

Frontend Patterns

Security checks for vulnerabilities and agentic risk

Overview

This is a documentation-only React and Next.js guidance skill with no hidden execution, persistence, credential handling, or destructive behavior.

Install this if you want React and Next.js implementation guidance to be applied automatically in relevant frontend work. Be aware that implicit invocation can make the skill influence code-generation style without being explicitly named, but the inspected artifacts do not show hidden behavior or sensitive authority.

A.I.G

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (1)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The skill enables allow_implicit_invocation without any trigger constraints, exclusions, or narrowing conditions, which means the agent may invoke this skill automatically in situations the author did not explicitly intend. That increases the attack surface for prompt-routing mistakes and adversarial context injection, especially because the skill influences frontend code generation and could be applied in unrelated conversations.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.